Data Scientist and Analyst skilled in SQL, Python, Tableau, Power BI, Data story telling and machine learning, committed to transforming data into actionable insights and driving informed decisions. @SandraKimiring Resume
Developed a machine learning model to predict housing prices based on features such as location, number of rooms, and property size.
Utilized Python and Scikit-learn for data preprocessing, feature engineering, model training, and evaluation.
The model aims to deliver accurate price predictions for real estate analysis.
Conducted a comprehensive analysis of Mastercard and Visa stock market data using Python.
This project went beyond basic analysis to include advanced modeling, trend forecasting, and volatility assessment.
Key insights derived from the analysis enhance understanding of market dynamics and investment potential for these leading financial companies.
In this project, I analyzed M-Pesa transaction data from June 2023 to June 2024
using Power BI.
The analysis involved transforming and cleaning the data to make it suitable for detailed insights.
I created visualizations to highlight key transaction categories, spending habits, and financial trends over the period.
In this project I took raw housing data and transform
it in SQL Server to make it more usable for analysis.
Inthis project, I analyzed Netflix data using Tableau
and created an interactive dashboard to visualize key insights, trends, and patterns within the dataset.
The dashboard helps users easily explore and understand the data,
providing a comprehensive view of Netflix’s content library and viewer preferences.
Analyzed bike purchase data from Kaggle using Excel.
The project explored customer demographics, purchase trends, and key insights into bike-buying behaviors.
Findings include patterns based on commute distance, marital status, age, and income, aiding targeted marketing strategies.
I created interactive dashboards using Tableau and Power BI to visualize and analyze complex data sets.
These dashboards offer actionable insights and support data-driven decision-making through engaging and dynamic visuals.
NAIROBI,KENYA